ON BAYESIAN-ESTIMATION AND PREDICTION FROM RAYLEIGH BASED ON TYPE-II CENSORED-DATA

被引：2

作者：

HOWLADER, HA

HOSSAIN, A

机构：

[1] UNIV WINNIPEG,DEPT MATH & STAT,WINNIPEG,MB R3B 2E9,CANADA

[2] NEW MEXICO INST MIN & TECHNOL,DEPT MATH,SOCORRO,NM 87801

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1995年 / 24卷 / 09期

关键词：

BAYES ESTIMATOR; HIGHEST POSTERIOR DENSITY INTERVAL; PREDICTION INTERVAL; PRIOR DISTRIBUTION; POSTERIOR DISTRIBUTION; ORDER STATISTIC; INCOMPLETE BETA FUNCTION; INCOMPLETE GAMMA FUNCTION RATIO; RELIABILITY FUNCTION;

D O I：

暂无

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

This paper presents Bayes estimators and highest posterior density intervals for the Rayleigh parameter and its reliability based on the first r lifetimes in a group of n components under test. Based on the same censored data, Bayes predictive estimators and highest posterior density prediction intervals for a future observation as well as for the remaining (n - r) order statistics are derived. A numerical example is included.

引用

页码：2249 / 2259

页数：11

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